Accuracy of thoracic nerves recognition for surgical support system using artificial intelligence.

ABSTRACT: We developed a surgical support system that visualises important microanatomies using artificial intelligence (AI). This study evaluated its accuracy in recognising the thoracic nerves during lung cancer surgery. Recognition models were created with deep learning using images precisely annotated for nerves. Computational evaluation was performed using the Dice index and the Jaccard index. Four general thoracic surgeons evaluated the accuracy of nerve recognition. Further, the differences in time lag, image quality and smoothness of movement between the AI system and surgical monitor were assessed. Ratings were made using a five-point scale. The computational evaluation was relatively favourable, with a Dice index of 0.56 and a Jaccard index of 0.39. The AI system was used for 10 thoracosco

SUBMITTER: Ichinose J 

PROVIDER: S-EPMC11306550 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature